4 Multivariable analysis
To create a nice display for multivariable models the multivariable model first needs to be fit.
By default, the variance inflation factor will be shown to check for multicollinearity. To suppress this column set vif=FALSE
. Note: variance inflation factors are not computed (yet) for multilevel or GEE models.
<- glm(orr~change_ctdna_group+pdl1+age,
glm_fit family='binomial',
data = pembrolizumab)
rm_mvsum(glm_fit, showN = TRUE, vif=TRUE)
OR(95%CI) | p-value | N | VIF | |
---|---|---|---|---|
change ctdna group | 0.006 | 73 | 1.03 | |
Decrease from baseline | Reference | 33 | ||
Increase from baseline | 23.92 (2.49, 229.77) | 40 | ||
pdl1 | 0.97 (0.95, 0.99) | 0.01 | 73 | 1.24 |
age | 0.94 (0.87, 1.01) | 0.08 | 73 | 1.23 |